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Author SHA1 Message Date
LQ63 a75a3cc421 fix(ncs-122): authenticate WebSocket connections via first-message auth
Build & Test (NowChessSystems) TeamCity build failed
Replace header-based auth (not possible with browser WebSocket API) with a
first-message auth protocol: client sends {"type":"auth","token":"<JWT>"}
as the first text frame; server validates and proceeds or closes the connection.

Both GameWebSocketResource and UserWebSocketResource now hold incoming
connections in a pendingAuth set until the auth frame arrives, preventing
any game or event messages from being processed before identity is established.

Also removes the broken Bearer-prefix handling that caused header-based auth
to silently fail even for non-browser clients.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-17 09:45:47 +02:00
15 changed files with 89 additions and 290 deletions
-13
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@@ -10,16 +10,3 @@
### Bug Fixes ### Bug Fixes
* **analytics:** upgrade Spark to 4.0.3 — 3.5.x has no official Docker image ([46af115](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/46af1154de34a8596cb6cb28c6fad7aba90f597c)) * **analytics:** upgrade Spark to 4.0.3 — 3.5.x has no official Docker image ([46af115](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/46af1154de34a8596cb6cb28c6fad7aba90f597c))
## (2026-06-19)
### Features
* **analytics:** add Dockerfile, CI workflow, and stable jar name for K8s deployment ([95215b6](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/95215b6a420fd526df1aa395f9b087556c8ad03b))
* **analytics:** add PostgreSQL JDBC write-back to all four batch jobs ([0e0ea4c](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/0e0ea4c9893c6efed52e633e55d05ab3ed004502))
* **analytics:** add Spark batch analytics module ([259b3bb](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/259b3bbb24c0f23326269b93f4b3c84012f727cd))
* **analytics:** add Structured Streaming, MLlib clustering, GraphX jobs ([e1d80b9](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/e1d80b9331666feea191b1fd08aa762f3581c918))
* **official-bots:** park expert bot on tournament server at startup ([#76](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/76)) ([751a58b](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/751a58b6061f7434115e229a7661894c76768bc2))
### Bug Fixes
* **analytics:** upgrade Spark to 4.0.3 — 3.5.x has no official Docker image ([46af115](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/46af1154de34a8596cb6cb28c6fad7aba90f597c))
-7
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@@ -22,9 +22,6 @@
// NOWCHESS_JDBC_URL (default: jdbc:postgresql://localhost:5432/nowchess) // NOWCHESS_JDBC_URL (default: jdbc:postgresql://localhost:5432/nowchess)
// NOWCHESS_DB_USER (default: nowchess) // NOWCHESS_DB_USER (default: nowchess)
// NOWCHESS_DB_PASS (default: nowchess) // NOWCHESS_DB_PASS (default: nowchess)
// NOWCHESS_PGN_PATH (optional) — file or http(s) URL of a Lichess PGN dump (.pgn or .pgn.zst).
// When set, all batch jobs read games from the dump instead of PostgreSQL and
// skip JDBC write-back (Parquet/CSV output only). Demo data source.
plugins { plugins {
id("scala") id("scala")
@@ -74,10 +71,6 @@ dependencies {
// PostgreSQL JDBC driver bundled so it is available on executor classpath. // PostgreSQL JDBC driver bundled so it is available on executor classpath.
implementation("org.postgresql:postgresql:42.7.4") implementation("org.postgresql:postgresql:42.7.4")
// zstd-jni: decompress Lichess .pgn.zst dumps in-process. Provided at runtime by Spark
// (it uses zstd-jni internally for shuffle/event-log compression), so compile-only here.
compileOnly("com.github.luben:zstd-jni:1.5.6-9")
} }
application { application {
@@ -1,119 +0,0 @@
package de.nowchess.analytics
import org.apache.spark.SparkFiles
import org.apache.spark.sql.DataFrame
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.functions as F
/** Normalised game-record source for the batch jobs.
*
* Every batch job consumes the same five-column shape:
* - white_id, black_id : player identifiers
* - result : one of "white", "black", "draw"
* - move_count : number of plies
* - pgn : full PGN ("[Event …]…\n\n1. e4 …"), header and movetext separated by a blank line
*
* Two backends, selected by the `NOWCHESS_PGN_PATH` environment variable:
* - unset → PostgreSQL `game_records` table (production)
* - set → a Lichess PGN dump file/URL (demo). Point it at a `lichess_db_standard_rated_*.pgn[.zst]`
* to drive every batch job from real Lichess games.
*
* Lichess parsing uses only Spark SQL string functions — no UDFs — so Catalyst can push predicates,
* matching the no-UDF approach already used in OpeningBookJob.
*/
object GameSource:
private val PgnPathEnv = "NOWCHESS_PGN_PATH"
/** True when a Lichess PGN dump is configured; jobs use this to skip JDBC write-back. */
def isPgnMode: Boolean = sys.env.contains(PgnPathEnv)
def load(spark: SparkSession, jdbcUrl: String, dbUser: String, dbPass: String): DataFrame =
sys.env.get(PgnPathEnv) match
case Some(path) => fromLichessPgn(spark, path)
case None => fromJdbc(spark, jdbcUrl, dbUser, dbPass)
def fromJdbc(spark: SparkSession, jdbcUrl: String, dbUser: String, dbPass: String): DataFrame =
spark.read
.format("jdbc")
.option("url", jdbcUrl)
.option("dbtable", "game_records")
.option("user", dbUser)
.option("password", dbPass)
.option("driver", "org.postgresql.Driver")
.option("fetchsize", "10000")
.load()
.select("white_id", "black_id", "result", "move_count", "pgn")
/** Parses a Lichess PGN dump into the normalised game shape.
*
* `path` may be:
* - an http(s)/ftp URL — fetched once via SparkContext.addFile and distributed to executors, then read
* from the local replica (no S3/PVC needed; handy for a staging demo)
* - any Hadoop-readable path (file://, hdfs://, s3a://, …)
*
* `.zst` dumps (Lichess' native format) are decompressed in-process via zstd-jni; `.gz`/`.bz2` are
* handled by Spark's text reader codecs.
*
* Records are split on the "[Event " tag that opens every game, so each row holds one complete game
* (the empty fragment before the first game is filtered out). Header tags are read with regexp_extract;
* the movetext (after the blank line) is cleaned of clock/eval comments and move numbers to count plies.
*/
def fromLichessPgn(spark: SparkSession, path: String): DataFrame =
val resolved = resolvePath(spark, path)
val record = F.col("value")
val resultTag = F.regexp_extract(record, "Result \"([^\"]*)\"", 1)
val result = F
.when(resultTag === "1-0", "white")
.when(resultTag === "0-1", "black")
.when(resultTag === "1/2-1/2", "draw")
.otherwise(F.lit(null).cast("string"))
val moveText = F.coalesce(F.split(record, "\n\n").getItem(1), F.lit(""))
val noComment = F.regexp_replace(moveText, "\\{[^}]*\\}", "")
val noResult = F.regexp_replace(noComment, "(1-0|0-1|1/2-1/2|\\*)", "")
val noNumbers = F.regexp_replace(noResult, "\\d+\\.+", " ")
val plies = F.size(F.filter(F.split(F.trim(noNumbers), "\\s+"), tok => F.length(tok) > 0))
spark.read
.option("lineSep", "[Event ")
.text(resolved)
.filter(F.length(F.trim(record)) > 0)
.select(
F.regexp_extract(record, "White \"([^\"]*)\"", 1).as("white_id"),
F.regexp_extract(record, "Black \"([^\"]*)\"", 1).as("black_id"),
result.as("result"),
plies.as("move_count"),
F.concat(F.lit("[Event "), record).as("pgn"),
)
.filter((F.col("white_id") =!= "").and(F.col("black_id") =!= ""))
/** Turns an http(s)/ftp URL into a cluster-local path by fetching it once with SparkContext.addFile,
* which distributes the file to every executor. `.zst` is decompressed in-process and the plain `.pgn`
* is redistributed. Non-URL paths are returned unchanged.
*/
private def resolvePath(spark: SparkSession, path: String): String =
if !path.matches("^(https?|ftp)://.*") then path
else
spark.sparkContext.addFile(path)
val local = SparkFiles.get(baseName(path))
if !local.endsWith(".zst") then "file://" + local
else distribute(spark, decompressZstd(local))
private def baseName(path: String): String = path.substring(path.lastIndexOf('/') + 1)
private def distribute(spark: SparkSession, localPath: String): String =
spark.sparkContext.addFile("file://" + localPath)
"file://" + SparkFiles.get(baseName(localPath))
/** Decompresses a `.zst` file to a temp `.pgn` using zstd-jni (bundled with Spark at runtime). */
private def decompressZstd(srcPath: String): String =
val out = java.io.File.createTempFile("lichess-", ".pgn")
out.deleteOnExit()
val in = com.github.luben.zstd.ZstdInputStream(
java.io.BufferedInputStream(java.io.FileInputStream(srcPath)),
)
try java.nio.file.Files.copy(in, out.toPath, java.nio.file.StandardCopyOption.REPLACE_EXISTING)
finally in.close()
out.getAbsolutePath
@@ -37,8 +37,15 @@ object OpeningBookJob:
outputDir: String, outputDir: String,
maxPlies: Int, maxPlies: Int,
): Unit = ): Unit =
val games = GameSource val games = spark.read
.load(spark, jdbcUrl, dbUser, dbPass) .format("jdbc")
.option("url", jdbcUrl)
.option("dbtable", "game_records")
.option("user", dbUser)
.option("password", dbPass)
.option("driver", "org.postgresql.Driver")
.option("fetchsize", "10000")
.load()
.select("pgn", "result") .select("pgn", "result")
.filter(F.col("result").isNotNull.and(F.col("pgn").isNotNull)) .filter(F.col("result").isNotNull.and(F.col("pgn").isNotNull))
@@ -72,16 +79,15 @@ object OpeningBookJob:
.option("header", "true") .option("header", "true")
.csv(s"$outputDir/opening_book_top1000") .csv(s"$outputDir/opening_book_top1000")
if !GameSource.isPgnMode then top1000.write
top1000.write .mode("overwrite")
.mode("overwrite") .format("jdbc")
.format("jdbc") .option("url", jdbcUrl)
.option("url", jdbcUrl) .option("dbtable", "analytics_opening_stats")
.option("dbtable", "analytics_opening_stats") .option("user", dbUser)
.option("user", dbUser) .option("password", dbPass)
.option("password", dbPass) .option("driver", "org.postgresql.Driver")
.option("driver", "org.postgresql.Driver") .save()
.save()
/** Extracts the first `maxPlies` moves from a PGN column as a space-separated string. /** Extracts the first `maxPlies` moves from a PGN column as a space-separated string.
* *
@@ -50,8 +50,15 @@ object PlayerClusteringJob:
outputDir: String, outputDir: String,
k: Int, k: Int,
): Unit = ): Unit =
val games = GameSource val games = spark.read
.load(spark, jdbcUrl, dbUser, dbPass) .format("jdbc")
.option("url", jdbcUrl)
.option("dbtable", "game_records")
.option("user", dbUser)
.option("password", dbPass)
.option("driver", "org.postgresql.Driver")
.option("fetchsize", "10000")
.load()
.select("white_id", "black_id", "result", "move_count") .select("white_id", "black_id", "result", "move_count")
.filter(F.col("result").isNotNull) .filter(F.col("result").isNotNull)
@@ -119,26 +126,25 @@ object PlayerClusteringJob:
.option("header", "true") .option("header", "true")
.csv(s"$outputDir/cluster_archetypes") .csv(s"$outputDir/cluster_archetypes")
if !GameSource.isPgnMode then clustersDf.write
clustersDf.write .mode("overwrite")
.mode("overwrite") .format("jdbc")
.format("jdbc") .option("url", jdbcUrl)
.option("url", jdbcUrl) .option("dbtable", "analytics_player_clusters")
.option("dbtable", "analytics_player_clusters") .option("user", dbUser)
.option("user", dbUser) .option("password", dbPass)
.option("password", dbPass) .option("driver", "org.postgresql.Driver")
.option("driver", "org.postgresql.Driver") .save()
.save()
archetypes.write archetypes.write
.mode("overwrite") .mode("overwrite")
.format("jdbc") .format("jdbc")
.option("url", jdbcUrl) .option("url", jdbcUrl)
.option("dbtable", "analytics_cluster_archetypes") .option("dbtable", "analytics_cluster_archetypes")
.option("user", dbUser) .option("user", dbUser)
.option("password", dbPass) .option("password", dbPass)
.option("driver", "org.postgresql.Driver") .option("driver", "org.postgresql.Driver")
.save() .save()
private def buildPlayerStats(games: org.apache.spark.sql.DataFrame): org.apache.spark.sql.DataFrame = private def buildPlayerStats(games: org.apache.spark.sql.DataFrame): org.apache.spark.sql.DataFrame =
val asWhite = games.select( val asWhite = games.select(
@@ -53,8 +53,15 @@ object PlayerGraphJob:
dbPass: String, dbPass: String,
outputDir: String, outputDir: String,
): Unit = ): Unit =
val gamesRdd: RDD[Row] = GameSource val gamesRdd: RDD[Row] = spark.read
.load(spark, jdbcUrl, dbUser, dbPass) .format("jdbc")
.option("url", jdbcUrl)
.option("dbtable", "game_records")
.option("user", dbUser)
.option("password", dbPass)
.option("driver", "org.postgresql.Driver")
.option("fetchsize", "10000")
.load()
.select("white_id", "black_id", "result") .select("white_id", "black_id", "result")
.filter(F.col("result").isNotNull) .filter(F.col("result").isNotNull)
.rdd .rdd
@@ -109,16 +116,15 @@ object PlayerGraphJob:
.mode("overwrite") .mode("overwrite")
.parquet(s"$outputDir/player_graph") .parquet(s"$outputDir/player_graph")
if !GameSource.isPgnMode then result.write
result.write .mode("overwrite")
.mode("overwrite") .format("jdbc")
.format("jdbc") .option("url", jdbcUrl)
.option("url", jdbcUrl) .option("dbtable", "analytics_player_graph")
.option("dbtable", "analytics_player_graph") .option("user", dbUser)
.option("user", dbUser) .option("password", dbPass)
.option("password", dbPass) .option("driver", "org.postgresql.Driver")
.option("driver", "org.postgresql.Driver") .save()
.save()
// How many players belong to each connected component? // How many players belong to each connected component?
// A large dominant component + many singletons is the expected shape. // A large dominant component + many singletons is the expected shape.
@@ -34,8 +34,15 @@ object PlayerStatsJob:
dbPass: String, dbPass: String,
outputDir: String, outputDir: String,
): Unit = ): Unit =
val games = GameSource val games = spark.read
.load(spark, jdbcUrl, dbUser, dbPass) .format("jdbc")
.option("url", jdbcUrl)
.option("dbtable", "game_records")
.option("user", dbUser)
.option("password", dbPass)
.option("driver", "org.postgresql.Driver")
.option("fetchsize", "10000")
.load()
.select("white_id", "black_id", "result", "move_count") .select("white_id", "black_id", "result", "move_count")
.filter(F.col("result").isNotNull) .filter(F.col("result").isNotNull)
@@ -77,13 +84,12 @@ object PlayerStatsJob:
.mode("overwrite") .mode("overwrite")
.parquet(s"$outputDir/player_stats") .parquet(s"$outputDir/player_stats")
if !GameSource.isPgnMode then stats.write
stats.write .mode("overwrite")
.mode("overwrite") .format("jdbc")
.format("jdbc") .option("url", jdbcUrl)
.option("url", jdbcUrl) .option("dbtable", "analytics_player_stats")
.option("dbtable", "analytics_player_stats") .option("user", dbUser)
.option("user", dbUser) .option("password", dbPass)
.option("password", dbPass) .option("driver", "org.postgresql.Driver")
.option("driver", "org.postgresql.Driver") .save()
.save()
+1 -1
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@@ -1,3 +1,3 @@
MAJOR=0 MAJOR=0
MINOR=3 MINOR=2
PATCH=0 PATCH=0
-30
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@@ -310,33 +310,3 @@
### Reverts ### Reverts
* Revert "refactor: update metrics paths formatting in application.yml for clarity" ([3870566](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/38705663498d5f47c40dafe2f26198589ede8656)) * Revert "refactor: update metrics paths formatting in application.yml for clarity" ([3870566](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/38705663498d5f47c40dafe2f26198589ede8656))
## (2026-06-19)
### Features
* add initialization metrics for various services ([d438e97](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/d438e97f32bdde0bfc63c1b4a8cc810cdd093166))
* add OpenTelemetry trace configuration with parentbased sampler ([3904d5a](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/3904d5ad8ad4930ddee65287a7bfab785a6148f5))
* **analytics:** add Spark batch analytics module ([#70](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/70)) ([39f1657](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/39f1657e1db6e84889af338c43be8cb5c03c3ec3))
* **config:** update application.yml for PostgreSQL and remove staging/production configurations ([2404e61](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/2404e6164c3b50ffccbea5238d636060d6abe4d6))
* **config:** update application.yml for staging and production environments ([6113432](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/6113432a14c476a3a0dfc0d449e17d023697f2ba))
* configure logging and add OpenTelemetry support ([#49](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/49)) ([d57c488](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/d57c4886612d1d92da0e1b79209fc83e6ef537a1))
* **docker:** add .dockerignore and .gitignore files for build exclusions ([c987d8e](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/c987d8e258c0e6c4cfbdaa8381c64c410d7a2b83))
* **docker:** add Dockerfiles for building Quarkus application in native and JVM modes ([3f2d2bb](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/3f2d2bb4c97fa8cddba66e1da4427c54236dfeed))
* **docker:** add Dockerfiles for Quarkus application in JVM and native modes ([34b9933](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/34b993304670cf2aa62cd2f6460cee7b9864b08e))
* **events:** migrate game-creation and bot flows to Redis Streams NCS-89 ([#62](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/62)) ([a24924c](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/a24924c23057db3d700a75dbc4333557789cd991))
* NCS-78 Add Traceability to the Applications ([#46](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/46)) ([649566e](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/649566eb3fcf38f91c8896a739f74ea318af312d))
* NCS-78 Add Traceability to the Applications ([#47](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/47)) ([87dfc6c](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/87dfc6c2bcce7f7d58fc641bd8d468a2e584c108))
* NCS-82 add Swiss-system tournament module ([#55](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/55)) ([c5661de](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/c5661de4a0ebf4b33211f5a391840dcf744656b7))
* **official-bots:** consume GameOver stream for bot cleanup ([#67](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/67)) ([db9d153](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/db9d1533912f4b41c4d1ca80ccffdde5d23d6ff6))
* **official-bots:** park expert bot on tournament server at startup ([#75](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/75)) ([30295a4](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/30295a4bb95855ee8261c92278bb9ebc80ee12ee))
* true-microservices ([#40](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/40)) ([5909242](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/590924254e8a2754de661a57a03e43f89ceb6299))
### Bug Fixes
* enable official bots to connect to external tournament server ([#71](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/71)) ([688d30e](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/688d30e2b10026923372be5fca3c63eaaee2de2a))
* **official-bots:** configure JWT verification ([#72](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/72)) ([98c64fc](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/98c64fc0d56dc542beb31c75f4b9056d91de03cd))
* **official-bots:** NCS-70-auto-register official bots with account service ([#59](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/59)) ([7117a93](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/7117a93376272094d0b1a6abf2121254ce396684))
### Reverts
* Revert "refactor: update metrics paths formatting in application.yml for clarity" ([3870566](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/38705663498d5f47c40dafe2f26198589ede8656))
@@ -20,7 +20,7 @@ object TournamentBotConfig:
tournamentId <- env.get("TOURNAMENT_ID").filter(_.nonEmpty) tournamentId <- env.get("TOURNAMENT_ID").filter(_.nonEmpty)
token <- env.get("TOURNAMENT_BOT_TOKEN").filter(_.nonEmpty) token <- env.get("TOURNAMENT_BOT_TOKEN").filter(_.nonEmpty)
botId <- jwtSubject(token) botId <- jwtSubject(token)
serverUrl = env.getOrElse("TOURNAMENT_SERVER_URL", "http://141.37.123.132:8086") serverUrl = env.getOrElse("TOURNAMENT_SERVER_URL", "http://localhost:8089")
difficulty = env.getOrElse("TOURNAMENT_BOT_DIFFICULTY", "medium") difficulty = env.getOrElse("TOURNAMENT_BOT_DIFFICULTY", "medium")
yield TournamentBotConfig(serverUrl, tournamentId, token, botId, difficulty) yield TournamentBotConfig(serverUrl, tournamentId, token, botId, difficulty)
@@ -39,11 +39,10 @@ class TournamentBotGamePlayer:
// scalafix:on DisableSyntax.var // scalafix:on DisableSyntax.var
val defaultServerUrl: String = val defaultServerUrl: String =
System.getenv().asScala.getOrElse("TOURNAMENT_SERVER_URL", "http://141.37.123.132:8086") System.getenv().asScala.getOrElse("TOURNAMENT_SERVER_URL", "http://localhost:8089")
@PostConstruct @PostConstruct
def initialize(): Unit = def initialize(): Unit =
parkOnStartup()
config match config match
case None => case None =>
log.info("Tournament bot disabled — set TOURNAMENT_ID and TOURNAMENT_BOT_TOKEN to enable") log.info("Tournament bot disabled — set TOURNAMENT_ID and TOURNAMENT_BOT_TOKEN to enable")
@@ -51,32 +50,6 @@ class TournamentBotGamePlayer:
log.infof("Tournament bot enabled — server=%s tournament=%s bot=%s", cfg.serverUrl, cfg.tournamentId, cfg.botId) log.infof("Tournament bot enabled — server=%s tournament=%s bot=%s", cfg.serverUrl, cfg.tournamentId, cfg.botId)
startAsync(cfg) startAsync(cfg)
private def parkOnStartup(): Unit =
park(defaultServerUrl, "expert") match
case Some(id) => log.infof("Parked expert bot on %s as id %s", defaultServerUrl, id)
case None => log.warnf("Failed to park expert bot on %s", defaultServerUrl)
private def park(serverUrl: String, difficulty: String): Option[String] =
System.getenv().asScala.get("TOURNAMENT_BOT_TOKEN").filter(_.nonEmpty).flatMap { token =>
Try {
val body = s"""{"name":"${botName(difficulty)}"}"""
val response = client
.target(serverUrl)
.path("api")
.path("bots")
.request(MediaType.APPLICATION_JSON)
.header("Authorization", s"Bearer $token")
.post(Entity.entity(body, MediaType.APPLICATION_JSON))
if response.getStatus == 201 || response.getStatus == 200 then
val id = objectMapper.readTree(response.readEntity(classOf[String])).path("id").asText()
response.close()
Option(id).filter(_.nonEmpty)
else { log.warnf("Parking bot %s returned status %d", botName(difficulty), response.getStatus); response.close(); None }
}.getOrElse(None)
}
private def botName(difficulty: String): String = s"NowChess ${difficulty.capitalize}"
def joinTournament( def joinTournament(
tournamentId: String, tournamentId: String,
botToken: String, botToken: String,
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MAJOR=0 MAJOR=0
MINOR=20 MINOR=19
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@@ -259,32 +259,3 @@
### Reverts ### Reverts
* Revert "refactor: update metrics paths formatting in application.yml for clarity" ([3870566](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/38705663498d5f47c40dafe2f26198589ede8656)) * Revert "refactor: update metrics paths formatting in application.yml for clarity" ([3870566](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/38705663498d5f47c40dafe2f26198589ede8656))
## (2026-06-19)
### Features
* add initialization metrics for various services ([d438e97](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/d438e97f32bdde0bfc63c1b4a8cc810cdd093166))
* add OpenTelemetry trace configuration with parentbased sampler ([3904d5a](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/3904d5ad8ad4930ddee65287a7bfab785a6148f5))
* **config:** update application.yml for PostgreSQL and remove staging/production configurations ([2404e61](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/2404e6164c3b50ffccbea5238d636060d6abe4d6))
* **config:** update application.yml for staging and production environments ([6113432](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/6113432a14c476a3a0dfc0d449e17d023697f2ba))
* configure logging and add OpenTelemetry support ([#49](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/49)) ([d57c488](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/d57c4886612d1d92da0e1b79209fc83e6ef537a1))
* **docker:** add .dockerignore and .gitignore files for build exclusions ([c987d8e](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/c987d8e258c0e6c4cfbdaa8381c64c410d7a2b83))
* **docker:** add Dockerfiles for building Quarkus application in native and JVM modes ([3f2d2bb](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/3f2d2bb4c97fa8cddba66e1da4427c54236dfeed))
* **docker:** add Dockerfiles for Quarkus application in JVM and native modes ([34b9933](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/34b993304670cf2aa62cd2f6460cee7b9864b08e))
* **docker:** add Dockerfiles for Quarkus application in JVM and native modes ([e5fe7d0](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/e5fe7d07a58e018151bb24f4ee37c06e72608ded))
* **logging:** add DEBUG/INFO/WARN logging across services (NCS-72) ([#41](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/41)) ([804a4bf](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/804a4bf179e3dfb19e2be4390e7e543caf5237c6))
* NCS-78 Add Traceability to the Applications ([#46](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/46)) ([649566e](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/649566eb3fcf38f91c8896a739f74ea318af312d))
* NCS-78 Add Traceability to the Applications ([#47](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/47)) ([87dfc6c](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/87dfc6c2bcce7f7d58fc641bd8d468a2e584c108))
* **reflection:** add native reflection configuration for tournament classes ([65bc6a7](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/65bc6a759937543df2d29905688bfa9e68d0c9d4))
* true-microservices ([#40](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/40)) ([5909242](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/590924254e8a2754de661a57a03e43f89ceb6299))
* update application.yml with new API root paths and add Micrometer and OpenTelemetry dependencies ([72ce262](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/72ce262bc491f94297700e6002fb5d0812e2cc2a))
* **ws:** migrate challenge notifications to Redis Streams ([#66](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/66)) ([55f102c](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/55f102cbaa684be94a158b16aaa42a50b36afaf3))
### Bug Fixes
* NCS-122 authenticate WebSocket connections via first-message auth ([#73](https://git.janis-eccarius.de/NowChess/NowChessSystems/issues/73)) ([343e2bd](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/343e2bdd100649a96d96da8a6d98caad6de4ad14))
* remove unused HTTP root-path configurations from application.yml ([3ed3e59](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/3ed3e59ee456d54cd3d65ece4f36623e256b9736))
### Reverts
* Revert "refactor: update metrics paths formatting in application.yml for clarity" ([3870566](https://git.janis-eccarius.de/NowChess/NowChessSystems/commit/38705663498d5f47c40dafe2f26198589ede8656))
@@ -66,9 +66,9 @@ class GameWebSocketResource:
@OnOpen @OnOpen
def onOpen(connection: WebSocketConnection): Unit = def onOpen(connection: WebSocketConnection): Unit =
activeGauge activeGauge
val gameId = connection.pathParam("gameId") val gameId = connection.pathParam("gameId")
val handler: Consumer[String] = msg => connection.sendText(msg).subscribe().`with`(_ => (), _ => ()) val handler: Consumer[String] = msg => connection.sendText(msg).subscribe().`with`(_ => (), _ => ())
val subscriber = redis.pubsub(classOf[String]).subscribe(s2cTopic(gameId), handler) val subscriber = redis.pubsub(classOf[String]).subscribe(s2cTopic(gameId), handler)
connections.put(connection.id(), ConnectionMeta(gameId, subscriber, None)) connections.put(connection.id(), ConnectionMeta(gameId, subscriber, None))
connectionsOpened.increment() connectionsOpened.increment()
pendingAuth.add(connection.id()) pendingAuth.add(connection.id())
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MINOR=17 MINOR=16
PATCH=0 PATCH=0